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Regression analysis is a statistical technique used to examine and quantify the relationship between a dependent variable and one or more independent variables. It helps in understanding how changes in one or more predictor variables influence the outcome variable. Regression analysis is widely used in economics, business, social sciences, health studies, engineering, and research for prediction, forecasting, trend analysis, and decision-making. Unlike descriptive statistics, which summarize data, regression provides an analytical framework to estimate the nature and strength of relationships among variables. The simplest form is simple linear regression, which studies the relationship between one dependent variable and one independent variable. It is represented by the equation: Y = a + bX + e where Y is the dependent variable, X is the independent variable, a is the intercept, b is the __________ __________ ______ ___ _________ _______ _________.
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